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Average Ratings 0 Ratings
Description
Amazon SageMaker enables the identification of various types of unprocessed data, including images, text documents, and videos, while also allowing for the addition of meaningful labels and the generation of synthetic data to develop high-quality training datasets for machine learning applications. The platform provides two distinct options, namely Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which grant users the capability to either leverage a professional workforce to oversee and execute data labeling workflows or independently manage their own labeling processes. For those seeking greater autonomy in crafting and handling their personal data labeling workflows, SageMaker Ground Truth serves as an effective solution. This service simplifies the data labeling process and offers flexibility by enabling the use of human annotators through Amazon Mechanical Turk, external vendors, or even your own in-house team, thereby accommodating various project needs and preferences. Ultimately, SageMaker's comprehensive approach to data annotation helps streamline the development of machine learning models, making it an invaluable tool for data scientists and organizations alike.
Description
Your AI Data Platform
High Quality Training Data for Enterprise
Data Labeling Software for Machine Learning
Your Kubernetes Cluster up to 3 users is free
TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE
Images, Video, and Text
Spatial Tools
Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More
You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video.
Attribute Tools
More Meaning. More freedom through:
Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more!
Complex knowledge can be captured and encoded into your AI.
Streaming Data
Automation
Manual labeling can be up to 10x faster than automated labeling
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS CloudFormation
No
Amazon SageMaker
Yes
Amazon SageMaker Unified Studio
Yes
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Kubernetes
No
Labelbox
No
Microsoft Azure
No
Scale GenAI Platform
No
TensorFlow
No
Integrations
AWS CloudFormation
Yes
Amazon SageMaker
No
Amazon SageMaker Unified Studio
No
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Kubernetes
Yes
Labelbox
Yes
Microsoft Azure
Yes
Scale GenAI Platform
Yes
TensorFlow
Yes
Pricing Details
$0.08 per month
Free Trial
No
Free Version
No
Pricing Details
Free
https://www.diffgram.com/pricing
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon Web Services
Founded
2006
Country
United States
Website
aws.amazon.com/es/sagemaker/data-labeling/
Vendor Details
Company Name
Diffgram
Founded
2018
Country
Santa Clara CA
Website
www.diffgram.com
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Product Features
Data Labeling
Human-in-the-loop
Yes
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
Yes
Polygon, Rectangle, Line, Point
Yes
SDK
Yes
Supports Audio Files
Yes
Task Management
Yes
Team Collaboration
Yes
Training Data Management
Yes